Re: SMP/cc Cluster description

Jeff V. Merkey
2001-12-06T18:34:21Z

On Thu, Dec 06, 2001 at 11:27:31AM -0700, Jeff V. Merkey wrote:

And also, if you download the SCI drivers in my area, and order
some SCI adapters from Dolphin in Albquerque, NM, you can set up
a ccNUMA system with standard PCs. Dolphin has 66Mhz versions (and
a 133Mhz coming in the future) that run at almost a gigabyte per
second node-2-node over a parallel fabric. The cross-sectional
SCI fabric bandwidth scales at (O)(2N) as you add nodes.

If you want to play around with ccNUMA with Standard PCs, these
cards are relatively inepxensive, and allow you to setup some
powerful cc/SMP systems with explicit coherence. The full
ccNUMA boxes from DG are expensive, however. That way, instead
of everyone talking about it, you guys could get some cool
hardware and experiment with some of your rather forward
looking and interesting ideas.

:-)

Jeff

>
>
> Guys,
>
> I am the maintaner of SCI, the ccNUMA technology standard. I know
> alot about this stuff, and have been involved with SCI since
> 1994. I work with it every day and the Dolphin guys on some huge
> supercomputer accounts, like Los Alamos and Sandia Labs in NM.
> I will tell you this from what I know.
>
> A shared everything approach is a programmers dream come true,
> but you can forget getting reasonable fault tolerance with it. The
> shared memory zealots want everyone to believe ccNUMA is better
> than sex, but it does not scale when compared to Shared-Nothing
> programming models. There's also a lot of tough issues for dealing
> with failed nodes, and how you recover when peoples memory is
> all over the place across a nuch of machines.
>
> SCI scales better in ccNUMA and all NUMA technoogies scale very
> well when they are used with "Explicit Coherence" instead of
> "Implicit Coherence" which is what you get with SMP systems.
> Years of research by Dr. Justin Rattner at Intel's High
> performance labs demonstrated that shared nothing models scaled
> into the thousands of nodes, while all these shared everything
> "Super SMP" approaches hit the wall at 64 processors generally.
>
> SCI is the fastest shared nothing interface out there, and it also
> can do ccNUMA. Sequent, Sun, DG and a host of other NUMA providers
> use Dolphin's SCI technology and have for years. ccNUMA is useful
> for applications that still assume a shared nothing approach but that
> use the ccNUMA and NUMA capabilities for better optimization.
>
> Forget trying to recreate the COMA architecture of Kendall-Square.
> The name was truly descriptive of what happened in this architecture
> when a node fails -- goes into a "COMA". This whole discussion I have
> lived through before and you will find that ccNUMA is virtually
> unimplementable on most general purpose OSs. And yes, there are
> a lot of products and software out there, but when you look under
> the cover (like ServerNet) you discover their coherence models
> for the most part relay on push/pull explicit coherence models.
>
> My 2 cents.
>
> Jeff
>
>
>
> On Thu, Dec 06, 2001 at 12:09:32AM -0800, David S. Miller wrote:
> > From: Larry McVoy <lm@bitmover.com>
> > Date: Thu, 6 Dec 2001 00:02:16 -0800
> >
> > Err, Dave, that's *exactly* the point of the ccCluster stuff. You get
> > all that seperation for every data structure for free. Think about
> > it a bit. Aren't you going to feel a little bit stupid if you do all
> > this work, one object at a time, and someone can come along and do the
> > whole OS in one swoop? Yeah, I'm spouting crap, it isn't that easy,
> > but it is much easier than the route you are taking.
> >
> > How does ccClusters avoid the file system namespace locking issues?
> > How do all the OS nodes see a consistent FS tree?
> >
> > All the talk is about the "magic filesystem, thread it as much as you
> > want" and I'm telling you that is the fundamental problem, the
> > filesystem name space locking.
> > -
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